
'''simple docstring'''





import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


SCREAMING_SNAKE_CASE     =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     =       {"""vocab_file""": """vocab.txt""", """emoji_file""": """emoji.json"""}

SCREAMING_SNAKE_CASE     =       {
    """vocab_file""": {
        """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt""",
    },
    """emoji_file""": {
        """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json""",
    },
}

SCREAMING_SNAKE_CASE     =       {
    """abeja/gpt-neox-japanese-2.7b""": 2_0_4_8,
}







def snake_case_     (					lowercase__   ,       lowercase__		):
  with open(lowercase__   ,       "r"   ,       encoding="utf-8"		) as f:
    UpperCAmelCase__      :					Any				       =							json.loads(f.read()		)

  UpperCAmelCase__      :					Dict				       =							collections.OrderedDict()
  UpperCAmelCase__      :					Optional[Any]				       =							collections.OrderedDict()
  UpperCAmelCase__      :					Optional[int]				       =							collections.OrderedDict()
  with open(lowercase__   ,       "r"   ,       encoding="utf-8"		) as f:
    UpperCAmelCase__      :					int				       =							f.readlines()
  UpperCAmelCase__      :					int				       =							[[t.rstrip("\n"		)] if (t == "," or "," not in t) else t.rstrip("\n"		).split(","		) for t in token]
  for idx, b in enumerate(lowercase__		):
    UpperCAmelCase__      :					Dict				       =							b
    UpperCAmelCase__      :					str				       =							idx
    for wd in b:
      UpperCAmelCase__      :					List[Any]				       =							idx

  return vocab, raw_vocab, ids_to_tokens, emoji






class 							UpperCAmelCase_							(    SCREAMING_SNAKE_CASE_				):

 '''simple docstring'''
 lowercase_					:    Any				=							VOCAB_FILES_NAMES
 lowercase_					:    Optional[Any]				=							PRETRAINED_VOCAB_FILES_MAP
 lowercase_					:    str				=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_					:    Dict				=							["input_ids", "attention_mask"]







 def __init__(					self		:  Tuple			,				snake_case__		:  Tuple			,				snake_case__		:  str			,				snake_case__		:  Dict="<|endoftext|>"			,				snake_case__		:  List[Any]="<|endoftext|>"			,				snake_case__		:  int="<|startoftext|>"			,				snake_case__		:  List[str]="<|endoftext|>"			,				snake_case__		:  Any=False			,				**snake_case__		:  Optional[Any]			,				):



   '''simple docstring'''




   super().__init__(
       unk_token=snake_case__			,				pad_token=snake_case__			,				bos_token=snake_case__			,				eos_token=snake_case__			,				do_clean_text=snake_case__			,				**snake_case__			,				)
   if not os.path.isfile(snake_case__ ):
     raise ValueError(
         F"""Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"""
         " model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`" )
   if not os.path.isfile(snake_case__ ):
     raise ValueError(
         F"""Can't find a emoji file at path '{emoji_file}'. To load the emoji information from a Google"""
         " pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`" )
   UpperCAmelCase__      :					Any				       =							do_clean_text
   UpperCAmelCase__       ,			UpperCAmelCase__       ,			UpperCAmelCase__       ,			UpperCAmelCase__      :					Dict				       =							load_vocab_and_emoji(snake_case__			,				snake_case__ )
   UpperCAmelCase__      :					Any				       =							SubWordJapaneseTokenizer(
       vocab=self.vocab			,				ids_to_tokens=self.ids_to_tokens			,				emoji=self.emoji )







 @property
 def 							UpperCamelCase  (					self		:  Union[str, Any] ):



   '''simple docstring'''




   return len(self.raw_vocab )







 def 							UpperCamelCase  (					self		:  Optional[Any] ):



   '''simple docstring'''




   return dict(self.raw_vocab			,				**self.added_tokens_encoder )







 def 							UpperCamelCase  (					self		:  Optional[Any]			,				snake_case__		:  Optional[int] ):



   '''simple docstring'''




   return self.subword_tokenizer.tokenize(snake_case__			,				clean=self.do_clean_text )







 def 							UpperCamelCase  (					self		:  Any			,				snake_case__		:  List[Any] ):



   '''simple docstring'''




   return self.vocab.get(snake_case__			,				self.vocab.get(self.unk_token ) )







 def 							UpperCamelCase  (					self		:  Any			,				snake_case__		:  Union[str, Any] ):



   '''simple docstring'''




   return self.subword_tokenizer.convert_id_to_token(snake_case__ )







 def 							UpperCamelCase  (					self		:  str			,				snake_case__		:  Tuple ):



   '''simple docstring'''




   UpperCAmelCase__      :					str				       =							"".join(snake_case__ ).strip()
   return out_string







 def 							UpperCamelCase  (					self		:  List[Any]			,				snake_case__		:  "Conversation" ):



   '''simple docstring'''




   UpperCAmelCase__      :					Dict				       =							[]
   for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(snake_case__			,				add_special_tokens=snake_case__ ) + [self.eos_token_id] )

   if len(snake_case__ ) > self.model_max_length:
     UpperCAmelCase__      :					Tuple				       =							input_ids[-self.model_max_length :]
   return input_ids







 def 							UpperCamelCase  (					self		:  str			,				snake_case__		:  str			,				snake_case__		:  Optional[str] = None ):



   '''simple docstring'''




   UpperCAmelCase__      :					str				       =							0
   if os.path.isdir(snake_case__ ):
     UpperCAmelCase__      :					Dict				       =							os.path.join(
         snake_case__			,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
     UpperCAmelCase__      :					Tuple				       =							os.path.join(
         snake_case__			,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"] )
   else:
     UpperCAmelCase__      :					Union[str, Any]				       =							(
         (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
     )
     UpperCAmelCase__      :					int				       =							(
         (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["emoji_file"]
     )
   with open(snake_case__			,				"w"			,				encoding="utf-8" ) as writer:
     for token_index, token in self.ids_to_tokens.items():
       if index != token_index:
         logger.warning(
             F"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
             " Please check that the vocabulary is not corrupted!" )
         UpperCAmelCase__      :					Optional[int]				       =							token_index
       writer.write(",".join(snake_case__ ) + "\n" )
       index += 1
   with open(snake_case__			,				"w"			,				encoding="utf-8" ) as writer:
     json.dump(self.emoji			,				snake_case__ )
   return vocab_file, emoji_file






class 							UpperCAmelCase_							(    SCREAMING_SNAKE_CASE_				):

 '''simple docstring'''







 def __init__(					self		:  List[Any]			,				snake_case__		:  Dict			,				snake_case__		:  Optional[int]			,				snake_case__		:  Tuple ):



   '''simple docstring'''




   UpperCAmelCase__      :					List[str]				       =							vocab  # same as swe
   UpperCAmelCase__      :					Any				       =							ids_to_tokens  # same as bpe
   UpperCAmelCase__      :					Union[str, Any]				       =							emoji
   UpperCAmelCase__      :					Optional[Any]				       =							np.max([len(snake_case__ ) for w in self.vocab.keys()] )
   UpperCAmelCase__      :					Optional[int]				       =							re.compile(R"(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)" )
   UpperCAmelCase__      :					Any				       =							re.compile(R"[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*" )
   UpperCAmelCase__      :					Any				       =							re.compile(R"[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}" )
   UpperCAmelCase__      :					int				       =							re.compile(
       R"([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*" )
   UpperCAmelCase__      :					List[Any]				       =							re.compile(
       R"(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*" )
   UpperCAmelCase__      :					List[Any]				       =							re.compile(
       R"((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*" )
   UpperCAmelCase__      :					Optional[Any]				       =							"─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"
   UpperCAmelCase__      :					List[Any]				       =							"▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"
   UpperCAmelCase__      :					Dict				       =							str.maketrans({k: "<BLOCK>" for k in keisen + blocks} )







 def __len__(					self		:  Optional[int] ):



   '''simple docstring'''




   return len(self.ids_to_tokens )







 def 							UpperCamelCase  (					self		:  Optional[int]			,				snake_case__		:  Tuple ):



   '''simple docstring'''




   UpperCAmelCase__      :					Optional[Any]				       =							self.content_repattera.sub("<URL>"			,				snake_case__ )
   UpperCAmelCase__      :					Any				       =							self.content_repattera.sub("<EMAIL>"			,				snake_case__ )
   UpperCAmelCase__      :					str				       =							self.content_repattera.sub("<TEL>"			,				snake_case__ )
   UpperCAmelCase__      :					str				       =							self.content_repattera.sub("<DATE>"			,				snake_case__ )
   UpperCAmelCase__      :					Optional[Any]				       =							self.content_repattera.sub("<DATE>"			,				snake_case__ )
   UpperCAmelCase__      :					Dict				       =							self.content_repattera.sub("<PRICE>"			,				snake_case__ )
   UpperCAmelCase__      :					Any				       =							content.translate(self.content_transa )
   while "<BLOCK><BLOCK>" in content:
     UpperCAmelCase__      :					Optional[int]				       =							content.replace("<BLOCK><BLOCK>"			,				"<BLOCK>" )
   return content







 def 							UpperCamelCase  (					self		:  str			,				snake_case__		:  str			,				snake_case__		:  Any=False ):



   '''simple docstring'''




   UpperCAmelCase__      :					Union[str, Any]				       =							text.replace(" "			,				"<SP>" )
   UpperCAmelCase__      :					Optional[Any]				       =							text.replace("　"			,				"<SP>" )
   UpperCAmelCase__      :					Union[str, Any]				       =							text.replace("\r\n"			,				"<BR>" )
   UpperCAmelCase__      :					List[str]				       =							text.replace("\n"			,				"<BR>" )
   UpperCAmelCase__      :					Union[str, Any]				       =							text.replace("\r"			,				"<BR>" )
   UpperCAmelCase__      :					str				       =							text.replace("\t"			,				"<TAB>" )
   UpperCAmelCase__      :					Tuple				       =							text.replace("—"			,				"ー" )
   UpperCAmelCase__      :					Union[str, Any]				       =							text.replace("−"			,				"ー" )
   for k, v in self.emoji["emoji"].items():
     if k in text:
       UpperCAmelCase__      :					List[Any]				       =							text.replace(snake_case__			,				snake_case__ )
   if clean:
     UpperCAmelCase__      :					Union[str, Any]				       =							self.clean_text(snake_case__ )

   def check_simbol(snake_case__		:  str ):
     UpperCAmelCase__      :					Tuple				       =							x.encode()
     if len(snake_case__ ) == 1 and len(snake_case__ ) == 2:
       UpperCAmelCase__      :					int				       =							(int(e[0] ) << 8) + int(e[1] )
       if (
           (c >= 0xC2A1 and c <= 0xC2BF)
           or (c >= 0xC780 and c <= 0xC783)
           or (c >= 0xCAB9 and c <= 0xCBBF)
           or (c >= 0xCC80 and c <= 0xCDA2)
       ):
         return True
     return False

   def checkuae(snake_case__		:  Any ):
     UpperCAmelCase__      :					List[str]				       =							x.encode()
     if len(snake_case__ ) == 1 and len(snake_case__ ) == 3:
       UpperCAmelCase__      :					Dict				       =							(int(e[0] ) << 16) + (int(e[1] ) << 8) + int(e[2] )
       if c >= 0xE28080 and c <= 0xE2B07F:
         return True
     return False

   UpperCAmelCase__      :					Tuple				       =							0
   UpperCAmelCase__      :					Optional[Any]				       =							[]
   while pos < len(snake_case__ ):
     UpperCAmelCase__      :					Optional[Any]				       =							min(len(snake_case__ )			,				pos + self.maxlen + 1 ) if text[pos] == "<" else pos + 3
     UpperCAmelCase__      :					Optional[int]				       =							[]  # (token_id, token, pos)
     for e in range(snake_case__			,				snake_case__			,				-1 ):
       UpperCAmelCase__      :					List[Any]				       =							text[pos:e]
       if wd in self.vocab:
         if wd[0] == "<" and len(snake_case__ ) > 2:
           UpperCAmelCase__      :					Optional[int]				       =							[(self.vocab[wd], wd, e)]
           break
         else:
           candidates.append((self.vocab[wd], wd, e) )
     if len(snake_case__ ) > 0:
       # the smallest token_id is adopted
       UpperCAmelCase__       ,			UpperCAmelCase__       ,			UpperCAmelCase__      :					Optional[int]				       =							sorted(snake_case__			,				key=lambda snake_case__ : x[0] )[0]
       result.append(snake_case__ )
       UpperCAmelCase__      :					Any				       =							e
     else:
       UpperCAmelCase__      :					Dict				       =							pos + 1
       UpperCAmelCase__      :					Tuple				       =							text[pos:end]
       if check_simbol(snake_case__ ):
         result.append("<KIGOU>" )
       elif checkuae(snake_case__ ):
         result.append("<U2000U2BFF>" )
       else:
         for i in wd.encode("utf-8" ):
           result.append("<|byte%d|>" % i )
       UpperCAmelCase__      :					Union[str, Any]				       =							end
   return result







 def 							UpperCamelCase  (					self		:  Dict			,				snake_case__		:  str			,				snake_case__		:  Dict="\n" ):



   '''simple docstring'''




   UpperCAmelCase__      :					Dict				       =							[]
   UpperCAmelCase__      :					Any				       =							[]
   UpperCAmelCase__      :					List[str]				       =							self.ids_to_tokens[index][0]
   if word[:6] == "<|byte" and word[-2:] == "|>":
     byte_tokens.append(int(word[6:-2] ) )
   else:
     if len(snake_case__ ) > 0:
       words.append(bytearray(snake_case__ ).decode("utf-8"			,				errors="replace" ) )
       UpperCAmelCase__      :					int				       =							[]
     if word[:7] == "<|emoji" and word[-2:] == "|>":
       words.append(self.emoji["emoji_inv"][word] )
     elif word == "<SP>":
       words.append(" " )
     elif word == "<BR>":
       words.append(snake_case__ )
     elif word == "<TAB>":
       words.append("\t" )
     elif word == "<BLOCK>":
       words.append("▀" )
     elif word == "<KIGOU>":
       words.append("ǀ" )
     elif word == "<U2000U2BFF>":
       words.append("‖" )
     else:
       words.append(snake_case__ )
   if len(snake_case__ ) > 0:
     words.append(bytearray(snake_case__ ).decode("utf-8"			,				errors="replace" ) )
   UpperCAmelCase__      :					Union[str, Any]				       =							"".join(snake_case__ )
   return text




import functools
from typing import Any


def 	lowerCamelCase					(	UpperCamelCase     :				str			,       UpperCamelCase     :				list[str]							)   ->    bool:

		# Validation
		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or len(UpperCamelCase							) == 0:
				raise ValueError('the string should be not empty string'							)

		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or not all(
		    isinstance(UpperCamelCase			,       UpperCamelCase							) and len(UpperCamelCase							) > 0 for item in words							):
				raise ValueError('the words should be a list of non-empty strings'							)

		# Build trie
		_lowerCamelCase				   =  {}
		_lowerCamelCase				   =  'WORD_KEEPER'

		for word in words:
				_lowerCamelCase				   =  trie
				for c in word:
						if c not in trie_node:
								_lowerCamelCase				   =  {}

						_lowerCamelCase				   =  trie_node[c]

				_lowerCamelCase				   =  True

		_lowerCamelCase				   =  len(UpperCamelCase							)

		# Dynamic programming method
		@functools.cache
		def is_breakable(UpperCamelCase     :				int							) -> bool:
				if index == len_string:
						return True

				_lowerCamelCase				   =  trie
				for i in range(UpperCamelCase			,       UpperCamelCase							):
						_lowerCamelCase				   =  trie_node.get(string[i]			,       UpperCamelCase							)

						if trie_node is None:
								return False

						if trie_node.get(UpperCamelCase			,       UpperCamelCase							) and is_breakable(i + 1							):
								return True

				return False

		return is_breakable(0							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()